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Sökning: onr:"swepub:oai:DiVA.org:kth-334918" > A meta-meta-analysi...

A meta-meta-analysis of co-infection, secondary infections, and antimicrobial resistance in COVID-19 patients

Suleiman, Adeiza Shuaibu (författare)
Department of Pharmaceutical Microbiology, Faculty of Pharmaceutical Sciences, Ahmadu Bello University, Zaria, Kaduna, Nigeria
Islam, Md Aminul (författare)
Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj-2310, Bangladesh; COVID-19 Diagnostic lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
Akter, Mir Salma (författare)
COVID-19 Diagnostic lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
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Amin, Mohammad Ruhul (författare)
COVID-19 Diagnostic lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
Werkneh, Adhena Ayaliew (författare)
Department of Environmental Health, School of Public Health, College of Health Sciences, Mekelle University, P. O. Box 1871, Mekelle, Ethiopia
Bhattacharya, Prosun, 1962- (författare)
KTH,Vatten- och miljöteknik,COVID-19 Research @KTH
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 (creator_code:org_t)
Elsevier BV, 2023
2023
Engelska.
Ingår i: Journal of Infection and Public Health. - : Elsevier BV. - 1876-0341 .- 1876-035X. ; 16:10, s. 1562-1590
  • Forskningsöversikt (refereegranskat)
Abstract Ämnesord
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  • The newly discovered coronavirus SARS-CoV-2 has sparked a worldwide pandemic of COVID-19, which has caused havoc on medical infrastructures, economies, and cultures around the world. Determining the whole scenario is essential since SARS-CoV-2 variants and sub-variants keep appearing after vaccinations and booster doses. The objective of this secondary meta-analysis is to analysis co-infection, secondary infections, and antimicrobial resistance (AMR) in COVID-19 patients. This study used five significant databases to conduct a systematic review and an overlap meta-analysis to evaluate the pooled estimates of co-infections and secondary infections. The summary of the meta-analysis showed an overall co-infection effect of 26.19% (95% confidence intervals CI: 21.39–31.01, I2 =98.78, n = 14 meta-analysis) among patients with COVID-19. A coinfection effect of 11.13% (95% CI: 9.7–12.56, I2 =99.14, n = 11 meta-analysis) for bacteria; 9.69% (95% CI: 1.21–7.90, I2 =98.33) for fungal and 3.48% (95% CI: 2.15–4.81, I2 =95.84) for viruses. A secondary infection effect of 19.03% (95% CI: 9.53–28.54, I2 =85.65) was pooled from 2 meta-analyses (Ave: 82 primary studies). This is the first study that compiles the results of all the previous three years meta-analyses into a single source and offers strong proof of co-infections and secondary infections in COVID-19 patients. Early detection of co-infection and AMR is crucial for COVID-19 patients in order to effective treatment.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Infektionsmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Infectious Medicine (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Nyckelord

Antimicrobial resistant (AMR)
Co-infection
COVID-19
Pathogens
SARS-CoV-2
Secondary infection

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